An AI headshot generator that keeps your actual face

What an AI headshot generator actually does

It reads your face out of the selfies you upload, then renders that face into a new setting: a seamless studio backdrop, a window-lit office, a city street at golden hour. The lighting, wardrobe, depth of field and background are generated. Your face is meant to be carried across unchanged.

That last part is where most tools quietly fail. The underlying image models are trained on a world of flattering photographs, so left alone they drift toward the average attractive face: a narrower jaw, cleaner skin, more symmetry, a few years off. Each individual change is small. Together they produce a photo of someone who looks like your more successful cousin.

Why the face drifts, and what stops it

Image models handle instructions badly when those instructions are negative. Telling a model "do not slim the jaw" works about as well as telling someone not to think of an elephant: naming the thing summons it. Prompts full of prohibitions reliably render the exact defects they forbid.

The fix is to describe the face you want copied rather than the edits you want avoided. Real jaw width. Natural asymmetry, because no face is symmetric. The shadow under the eyes. Patchy stubble. Uneven skin tone. Stated as traits to reproduce, those survive the render.

The standard we hold it to: someone who knows you should say "same person, different day", never "you look great in that one". A result better looking than the reference photo is a failed result, not a bonus.

Making it read as a photograph, not a render

A generated image arrives as a lossless file with no sensor noise anywhere in it. Real photographs never look like that. Every camera, including the one in your phone, writes a compressed file with grain that rises as the light falls. Perfectly clean pixels are one of the most reliable tells that an image was generated, and no amount of prompting fixes it because it happens after the prompt.

So every photo gets measured for its own brightness and given the grain a real camera would have produced at that light level, then written as a JPEG. A bright beach frame gets almost none. A bar at night gets a lot. The amount comes from the image, not from a fixed setting, which is why it holds up when you ask for something the recipe did not anticipate.

What you can expect to get back

Headshots that survive a 400 pixel circle crop on LinkedIn and a full-size look on a company bio page. Eyes sharp, background separated but not blurred into mush, shoulders squared, wardrobe consistent with the room you picked.

What you will not get is a version of yourself that other people do not recognise. That is deliberate. A headshot that outperforms you in the photo underperforms you in the meeting.

What the alternatives cost

Where these photos go

Settings that work

Common questions

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